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Staff Software Engineer, Machine Learning
Our Mission:
As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.
We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
The Tinder ML team drives impact across nearly every core domain of the product — Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem.
In this position, we are looking for a highly motivated and experienced Staff-level Machine Learning Engineer who operates at the boundary of multiple domains and partners closely with the Director of Engineering. This is a senior individual contributor role for someone who thrives in ambiguity, can step into complex or struggling initiatives across domains, and help drive them back on track through hands-on technical leadership. While most ML engineers are embedded within a single pod, this role is intentionally cross-cutting. You will work across domains (for example, Trust & Safety and Profile, or Recommendations and Growth), identifying gaps, unblocking execution, and setting technical direction where ownership is unclear, or problems span multiple teams.
In this role, you will operate in multiple modes depending on the needs of the organization. At times, you will act as a hands-on technical leader, driving complex initiatives that span multiple teams. At other times, you will embed with a single pod to provide deep technical support and help unblock execution. You will also act as a strategic thought partner to engineering managers—helping shape direction and identify gaps, risks, and opportunities across ML systems that cut across domains. In addition, you will work closely with domain tech leads as a cross-domain advisor, helping bridge architectures, data, and decisions across teams.
This role offers a unique opportunity to gain deep, end-to-end understanding of how machine learning operates across every corner of Tinder’s product and bring strategic view into together with engineering manager, while having a direct hands-on impact as IC.
Where you'll work
This is a hybrid role and requires in-office collaboration three days per week. This position is located in Palo Alto, CA
Salary Range:
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
We don’t just
accept
difference, we
celebrate
it
We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact employeebenefits@matchgroup.com.
We don’t just
accept
difference, we
celebrate
it
We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
What life is like on the
Engineering
team
Our hottest benefits for full time employees
Our hottest benefits for interns
Parental Leave
100% paid parental leave (including for non-birthing parents) and family forming benefits
Plan for the Future
100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
Personal Growth
Mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development
Give back
Time off to volunteer and charitable donations matched up to $15,000 annually
Investment in your wellness
Access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
Flexible Vacation
With no waiting period and 10 annual wellness days
